ML Anthology

Automated Content Moderation Using Transparent Solutions and Linguistic Expertise

Veronika Solopova
IJCAI 2023 pp. 7097-7098
doi:10.24963/IJCAI.2023/823 /ijcai/2023/solopova2023ijcai-automated/

Abstract

Since the dawn of Transformer-based models, the trade-off between transparency and accuracy has been a topical issue in the NLP community. Working towards ethical and transparent automated content moderation (ACM), my goal is to find where it is still relevant to implement linguistic expertise. I show that transparent statistical models based on linguistic knowledge can still be competitive, while linguistic features have many other useful applications.

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Text

Solopova. "Automated Content Moderation Using Transparent Solutions and Linguistic Expertise." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/823

Markdown

[Solopova. "Automated Content Moderation Using Transparent Solutions and Linguistic Expertise." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/solopova2023ijcai-automated/) doi:10.24963/IJCAI.2023/823

BibTeX

@inproceedings{solopova2023ijcai-automated,
  title     = {{Automated Content Moderation Using Transparent Solutions and Linguistic Expertise}},
  author    = {Solopova, Veronika},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {7097-7098},
  doi       = {10.24963/IJCAI.2023/823},
  url       = {https://mlanthology.org/ijcai/2023/solopova2023ijcai-automated/}
}